Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Cover of the book

2015 | OriginalPaper | Chapter

Pan-Sharpening via Coupled Unitary Dictionary Learning

Authors : Shumiao Chen, Liang Xiao, Zhihui Wei, Wei Huang

Published in: Image and Graphics

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this paper, we propose a new pan-sharpening method by coupled unitary dictionary learning and clustered sparse representation. First, we randomly sample image patch pairs from the training images exclude the smooth patches, and divide these patch pairs into different groups by K-means clustering. Then, we learn sub-dictionaries offline from corresponding group patch pairs. Particularly, we use the principal component analysis (PCA) technique to learn sub-dictionaries. For a given LR MS patch, we adaptively select one sub-dictionary to reconstruct the HR MS patch online. Experiments show that the proposed method produces images with higher spectral resolution while maintaining the high-quality spatial resolution and gives better visual perception compared with the conventional methods.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
next chapter Partial Differential Equation Inpainting Method Based on Image Characteristics
Literature
1.
Thomas, C., Ranchin, T., Wald, L.: Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics. IEEE Trans. Geosci. Remote Sens. 46(5), 1301–1312 (2008)CrossRef
2.
Carper, W.J.: The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data. Photogramm. Eng. Remote Sens. 56(4), 457–467 (1990)
3.
Rahmani, S., Strait, M., Merkurjev, D.: An adaptive IHS pan-sharpening method. IEEE Geosci. Remote Sens. Lett. 7(4), 746–775 (2010)CrossRef
4.
Chen, M., Xuan, J.H., Li, D.R.: Image fusion algorithm based on independent component analysis. Opto-Electron. Eng. 34(11), 82–84 (2007)
5.
Zhang, Y.: Problems in the fusion of commercial high-resolution satelitte as well as Landsat 7 Images and Initial Solutions. Int. Arch. Photogrammetry Remote Sens. Spat. Inf. Sci. 34(4), 587–592 (2002)
6.
Otazu, X., González-Audícana, M., Fors, O.: Introduction of sensor spectral response into image fusion methods. IEEE Trans. Geosci. Remote Sens. 43(10), 2376–2385 (2005)CrossRef
7.
Li, S., Yang, B.: A new pan-sharpening method using a compressed sensing technique. IEEE Trans. Geosci. Remote Sens. 49(2), 738–746 (2011)CrossRef
8.
Zhu, X.X., Bamler, R.: A sparse image fusion algorithm with application to pan-sharpening. IEEE Trans. Geosci. Remote Sens. 51(5), 2827–2836 (2013)CrossRef
9.
Aharon, M., Elad, M., Bruckstein, A.: K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans. Sign. Process. 54(11), 4311–4322 (2006)CrossRef
10.
Elad, M., Yavneh, I.: A plurality of sparse representations is better than the sparsest one alone. IEEE Trans. Inf. Theor. 55(10), 4701–4714 (2009)MathSciNetCrossRef
11.
Protter, M., Yavneh, I., Elad, M.: Closed-form MMSE estimation for signal denoising under sparse representation modeling over a unitary dictionary. IEEE Trans. Sign. Process. 58(7), 3471–3484 (2010)MathSciNetCrossRef
12.
Zeyde, R., Elad, M., Protter, M: On single image scale-up using sparse-representations. In: Proceedings of the 7th International Conference on Curves and Surfaces, pp. 711–730 (2010)
13.
Freeman, W.T., Pasztor, E.C., Carmichael, O.T.: Learning low-level vision. Int. J. Comput. Vision 40(1), 25–47 (2000)CrossRef
14.
Sun, J., Zheng, N.N., Tao, H., Shum, H.Y.: Image hallucination with primal sketch priors. Computer Society Conference on Computer Vision and Pattern Recognition, 2, pp. II-729 (2003)
15.
Yang, J., Wright, J., Huang, T.S.: Image super-resolution via sparse representation. IEEE Trans. Image Process. 19(11), 2861–2873 (2010)MathSciNetCrossRef
Metadata
Title
Pan-Sharpening via Coupled Unitary Dictionary Learning
Authors
Shumiao Chen
Liang Xiao
Zhihui Wei
Wei Huang
Copyright Year
2015
Publisher
Springer International Publishing
Book
Image and Graphics

Print ISBN: 978-3-319-21968-4

Electronic ISBN: 978-3-319-21969-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-21969-1_1

Premium Partner

    Image Credits